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TanhExp: A Smooth Activation Function with High Convergence Speed for
  Lightweight Neural Networks

TanhExp: A Smooth Activation Function with High Convergence Speed for Lightweight Neural Networks

22 March 2020
Xinyu Liu
Xiaoguang Di
ArXivPDFHTML

Papers citing "TanhExp: A Smooth Activation Function with High Convergence Speed for Lightweight Neural Networks"

7 / 7 papers shown
Title
Neural Density-Distance Fields
Neural Density-Distance Fields
Itsuki Ueda
Yoshihiro Fukuhara
Hirokatsu Kataoka
Hiroaki Aizawa
Hidehiko Shishido
I. Kitahara
29
15
0
29 Jul 2022
Activation Functions: Dive into an optimal activation function
Activation Functions: Dive into an optimal activation function
V. Bansal
FAtt
18
2
0
24 Feb 2022
Real World Large Scale Recommendation Systems Reproducibility and Smooth
  Activations
Real World Large Scale Recommendation Systems Reproducibility and Smooth Activations
G. Shamir
Dong Lin
HAI
OffRL
23
6
0
14 Feb 2022
Activation function design for deep networks: linearity and effective
  initialisation
Activation function design for deep networks: linearity and effective initialisation
Michael Murray
V. Abrol
Jared Tanner
ODL
LLMSV
15
18
0
17 May 2021
Compacting Deep Neural Networks for Internet of Things: Methods and
  Applications
Compacting Deep Neural Networks for Internet of Things: Methods and Applications
Ke Zhang
Hanbo Ying
Hongning Dai
Lin Li
Yuangyuang Peng
Keyi Guo
Hongfang Yu
16
38
0
20 Mar 2021
Smooth activations and reproducibility in deep networks
Smooth activations and reproducibility in deep networks
G. Shamir
Dong Lin
Lorenzo Coviello
11
22
0
20 Oct 2020
TanhSoft -- a family of activation functions combining Tanh and Softplus
TanhSoft -- a family of activation functions combining Tanh and Softplus
Koushik Biswas
Sandeep Kumar
Shilpak Banerjee
A. Pandey
17
5
0
08 Sep 2020
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